run_defaultnet_10s-recall_gwdg-gpu

#!/bin/bash
#SBATCH -J SC_10s-recall
#SBATCH -t 48:00:00
#SBATCH -p gpu
#SBATCH -n 1
#SBATCH -c 1
#SBATCH -G V100:1
#SBATCH -o out/%J_out
#SBATCH -o out/%J_err
#--SBATCH --qos=long
#--SBATCH -C scratch2
#~

# prepare environment
module load anaconda3/2021.05
source activate myenv_arbor
module load cuda

# build necessary catalogue (also sets the environment to run custom Arbor installation)
source build_catalogue_gpu

# cell assembly size
N_CA=$1

# gather job information
add_info="Job ID: ${SLURM_JOB_ID}; partition: ${SLURM_JOB_PARTITION}; num. nodes: ${SLURM_JOB_NUM_NODES}; num. CPUs: ${SLURM_JOB_CPUS_PER_NODE}"

# run the simulation on CPU
python3 ./arborNetworkConsolidation.py -s_desc="net CA${N_CA} 10s-recall ${SLURM_JOB_PARTITION} CPU $2" -add_info="${add_info}" -platform="CPU" -N_CA=${N_CA} -runtime=25 -recall='{"time_start": 20, "scheme": "ONEPULSE", "freq": 100, "N_stim": 25}' -config_file="config_defaultnet-like.json" -output_period=10 -plot=0

# run the simulation on GPU
python3 ./arborNetworkConsolidation.py -s_desc="net CA${N_CA} 10s-recall ${SLURM_JOB_PARTITION} GPU $2" -add_info="${add_info}" -platform="GPU" -N_CA=${N_CA} -runtime=25 -recall='{"time_start": 20, "scheme": "ONEPULSE", "freq": 100, "N_stim": 25}' -config_file="config_defaultnet-like.json" -output_period=10 -plot=0

conda deactivate